{"id":"W4416677789","doi":"10.23919/softcom66362.2025.11197344","title":"Enhancing IoT Security via Optimized Dual Chain-Channel Device Identification and Attack Detection Scheme","year":2025,"lang":"","type":"article","venue":"","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Robustness (evolution); Feature selection; Identification (biology); Decision tree; Convolutional neural network; Internet of Things; Feature (linguistics); Feature extraction; Random forest","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002124219,0.0004904862,0.0006408404,0.0004895796,0.0007530985,0.001087505,0.0005897384,0.0003431692,0.00009000905],"category_scores_gemma":[0.0002061279,0.0005082224,0.0002817026,0.001376358,0.0001369189,0.0005903406,0.0006309454,0.0005723052,0.00008703659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001924978,"about_ca_system_score_gemma":0.0001305944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001445527,"about_ca_topic_score_gemma":0.001524861,"domain_scores_codex":[0.9956407,0.0003405713,0.001358036,0.001464058,0.0005161359,0.0006805072],"domain_scores_gemma":[0.9979637,0.0002360644,0.0004935939,0.0005122169,0.0006071167,0.0001873514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008062354,0.002510969,0.0001824867,0.003312156,0.0049357,0.0001426964,0.06905244,0.1102474,0.1503954,0.2970104,0.001659458,0.3597447],"study_design_scores_gemma":[0.0007442577,0.00006474772,0.0001478299,0.0002064757,0.0001517882,0.00002020224,0.0006849372,0.9597432,0.03750153,0.00008758232,0.0001981955,0.0004492594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1920238,0.0007192864,0.8038803,0.000697377,0.001431762,0.0003613374,0.000001278539,0.0001623274,0.0007224467],"genre_scores_gemma":[0.9905133,0.00007763034,0.006061101,0.000451978,0.0002340389,0.00002333539,0.000005469167,0.00001845862,0.002614746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8494958,"threshold_uncertainty_score":0.9999495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01359300932785141,"score_gpt":0.2620961654611225,"score_spread":0.2485031561332711,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}